Methadone Hydrochloride Tablet
Product Images NDC 0406-5771

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Methadone Hydrochloride (NDC 0406-5771). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Specgx Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Boxed M (Methadone Hydrochloride Tablets 1)

FDA Label Image

Boxed M (Methadone Hydrochloride Tablets 2)

FDA Label Image

Chemical Structure (Methadone Hydrochloride Tablets 3)

FDA Label Image

Boxed M (Methadone Hydrochloride Tablets 4)

FDA Label Image

Methadone Hydrochloride Usp 5 mg (Methadone Hydrochloride Tablets 5)

Methadone Hydrochloride Usp 5 mg (Methadone Hydrochloride Tablets 5)
Methadone Hydrochloride USP is a medication used for pain relief and opioid dependence treatment. This text includes information on NDC code, the drug dose form (tablets), and manufacturer. However, it also contains random characters making the text difficult to understand.*
FDA Label Image

Methadone Hydrochloride Usp 10 mg (Methadone Hydrochloride Tablets 6)

Methadone Hydrochloride Usp 10 mg (Methadone Hydrochloride Tablets 6)
This is a description for a medication with the NDC code 0406-5771-01. The medication comes in a pack of 100 tablets, with each tablet containing 10mg of Methadone Hydrochloride. This medication is typically used by adults at a dosage of 25mg every 8 hours or as necessary. The tablets should be stored at controlled room temperature and kept in a closed container. There is a medication guide that should be provided separately to each patient. The manufacturer of the medication is Mallinckrodt.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.